P300 wave feature extraction: preliminary results

Author

Fazel-Rezai, R. ; Peters, J.F.

Author_Institution

Dept. of Electr. & Comput. Eng., Manitoba Univ., Winnipeg, Man.

fYear

2005

fDate

1-4 May 2005

Firstpage

390

Lastpage

393

Abstract

Event related potentials (ERPs) are psychophysiological correlates of neurocognitive functioning that reflect the responses of the brain to changes (events) in the external or internal environment of the organism. ERPs have wide usage for clinical-diagnostic and research purposes. P300 is the most important and the most studied component of the ERP. In this paper, a new method for P300 wave feature extraction from electroencephalogram (EEG) signals is introduced. In this method Mexican hat wavelet coefficients were averaged over different scales. A simple classification method was used to demonstrate the robustness of the developed method to detect the P300 waves

Keywords

cognition; electroencephalography; feature extraction; medical signal processing; signal classification; wavelet transforms; EEG signals; Mexican hat wavelet coefficients; P300 wave feature extraction; clinical-diagnostic; electroencephalogram signals; event related potentials; neurocognitive functioning; simple classification method; Brain computer interfaces; Computational intelligence; Electroencephalography; Enterprise resource planning; Feature extraction; Humans; Organisms; Psychology; Signal processing; Wavelet coefficients;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering, 2005. Canadian Conference on

Conference_Location

Saskatoon, Sask.

ISSN

0840-7789

Print_ISBN

0-7803-8885-2

Type

conf

DOI

10.1109/CCECE.2005.1556954

Filename

1556954